Sophie Isabel Wharrie
Doctoral Researcher
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Research groups
- Probabilistic Machine Learning, Doctoral Researcher
- Professorship Kaski Samuel, Doctoral Researcher
Publications
Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning
Remo Monti, Lisa Eick, Georgi Hudjashov, Kristi Läll, Stavroula Kanoni, Brooke N. Wolford, Benjamin Wingfield, Oliver Pain, Sophie Wharrie, Bradley Jermy, Aoife McMahon, Tuomo Hartonen, Henrike Heyne, Nina Mars, Samuel Lambert, Kristian Hveem, Michael Inouye, David A. van Heel, Reedik Mägi, Pekka Marttinen, Samuli Ripatti, Andrea Ganna, Christoph Lippert
2024
A fast method to generate hundreds of thousands of synthetic genomes and phenotypes
Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Rahul Gupta, Remo Monti, Ying Wang, Pier Francesco Palamara, Samuel Kaski, Andrea Ganna, Christoph Lippert, Pekka Marttinen
2023
Characterizing personalized effects of family information on disease risk using graph representation learning
Sophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski
2023
Proceedings of the 8th Machine Learning for Healthcare Conference
HAPNEST : efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes
Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J. O'Connor, Samuel Kaski, Pekka Marttinen, Pier Francesco Palamara, Christoph Lippert, Andrea Ganna
2023
HAPNEST: an efficient tool for generating large-scale genetics datasets from limited training data
Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J O'Connor, Samuel Kaski, Pekka Marttinen, Pier Francesco Palamara, Christoph Lippert, Andrea Ganna
2022